Software Engineer - Machine Learning (Ai Training)

About The Role
What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Toronto to evaluate AI-generated machine learning solutions — catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.About The Role
What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Toronto to evaluate AI-generated machine learning solutions — catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.This is a fully remote, flexible contract role. Work asynchronously on your own schedule. No fixed hours, no meetings — just high-impact, expert work that matters.Organization: AlignerrType: Hourly ContractLocation: Remote (Canada-based)Commitment: Flexible, project-basedWhat You'll Do
Review and evaluate AI-generated machine learning code — including Python, TensorFlow, PyTorch, and scikit-learn — for correctness, efficiency, scalability, and clarityWrite high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levelsCraft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approachesIdentify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responsesHelp set the quality bar for how AI understands and produces machine learning codeWho You Are
Deeply fluent in machine learning — you know your way around model development, data preprocessing, training pipelines, and deploymentHands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learnStrong written communicator — able to explain complex ML concepts clearly and preciselyDetail-oriented and rigorous — you catch what others miss and care about getting things rightSelf-motivated and comfortable working independently in an async environmentNice to Have
3–5+ years working on machine learning projects, pipelines, or MLOpsExperience with model evaluation, cloud deployment, or production ML systemsBachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related fieldBackground in data labeling, RLHF, or other AI training workflowsPrior experience with code review or technical writingWhy Join Us
Work on cutting-edge AI projects alongside leading research labs and top AI teamsFully remote and async — work when and where it suits you, with no minimum hour commitments beyond project needsFreelance autonomy with the structure of meaningful, task-based workYour contributions directly improve AI models used by top research labs and enterprise teams worldwideHigh-performing contributors take on expanded responsibilities and lead new programsPotential for ongoing work and contract extension as new projects launch
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